Example-Based Conditioning for Text-to-Image Generative Models

Example-Based Conditioning for Text-to-Image Generative Models

Recent progress in image generation has made it possible to create high-quality images. Techniques using diffusion models have shown great potential in producing high-quality images from simple prompts, attracting inexperienced beginners in deep learning. However, prompt-based image generation often...

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Bibliographic Details
Main Authors: Atsushi Takada, Wataru Kawabe, Yusuke Sugano
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Image Generation
diffusion models
interactive machine learning
human-AI interaction
example-based Learning
deep learning
Online Access:https://ieeexplore.ieee.org/document/10734215/
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